This question evaluates understanding of ensemble learning concepts and the competency to recognize bootstrap aggregating (bagging) as an algorithmic family, including the ability to distinguish bagging from other ensemble strategies.
Which of the following algorithms is a classic example of bagging (bootstrap aggregating)?
A. Random Forest
B. Gradient Boosting
C. Logistic Regression
D. Support Vector Machine
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